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  <h1>DataFrame</h1>
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  <h2>Attributes and underlying data</h2>
  <table class="w3-table-all w3-hoverable">
    <tr>
      <th style="width:20%">属性</th>
      <th>描述</th>
    </tr>
    <tr>
      <td>DataFrame.columns</td>
      <td>The column labels of the DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.index</td>
      <td>The index (row labels) of the DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.dtypes</td>
      <td>Return the dtypes in the DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.ftypes</td>
      <td>Return the ftypes (indication of sparse/dense and dtype) in DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.get_dtype_counts()</td>
      <td>Return counts of unique dtypes in this object. </td>
    </tr>
    <tr>
      <td>DataFrame.get_ftype_counts()</td>
      <td>(DEPRECATED) Return counts of unique ftypes in this object. </td>
    </tr>
    <tr>
      <td>DataFrame.select_dtypes([include, exclude])</td>
      <td>Return a subset of the DataFrame’s columns based on the column dtypes.</td>
    </tr>
    <tr>
      <td>DataFrame.values</td>
      <td> Return a Numpy representation of the DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.get_values()</td>
      <td>Return an ndarray after converting sparse values to dense. </td>
    </tr>
    <tr>
      <td>DataFrame.axes</td>
      <td>Return a list representing the axes of the DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.ndim</td>
      <td>Return an int representing the number of axes / array dimensions.</td>
    </tr>
    <tr>
      <td>DataFrame.size</td>
      <td>Return an int representing the number of elements in this object.</td>
    </tr>
    <tr>
      <td>DataFrame.shape</td>
      <td>Return a tuple representing the dimensionality of the DataFrame.</td>
    </tr>
    <tr>
      <td>DataFrame.memory_usage([index, deep])</td>
      <td>Return the memory usage of each column in bytes.</td>
    </tr>
    <tr>
      <td>DataFrame.empty</td>
      <td>Indicator whether DataFrame is empty.</td>
    </tr>
    <tr>
    	<td>DataFrame.is_copy</td>
    	<td>Return the copy.</td>
    </tr>
  </table>
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